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Take control of your personal data. Learn how companies manipulate and exploit your data and what you can do to access, delete, and monetise it yourself. The data you generate every day makes big companies rich. In Data for All, bestselling author John K Thompson outlines how this one-sided data economy is about to come to a dramatic end. Thompson pulls back the curtain to reveal the true nature of data ownership and explains how you can turn your data from an exploited resource into a financial asset. More about the book Both a handbook and a manifesto, Data for All is a must-read for anyone who wants to take control of their personal data. It lays out how businesses collect, use, and exploit data, providing a clear explanation of how the legislation overturns the existing system. By following this direct and accessible guide, you will completely change the way you handle your data. In this fascinating book, you will learn how to over

Data for All

Explore the next major revolution in data science and artificial intelligence: causal AI In Causal Artificial Intelligence: The Next Step in Effective Business AI, a team of distinguished AI and analytics professionals delivers an incisive and comprehensive exploration of the models and data of causal inference and causal artificial intelligence. Authors Judith Hurwitz and John Thompson offer the technical detail--explained clearly and accessibly--necessary to understand the underlying technologies, as well as the business context that frames causal AI from a perspective of daily business operations. You'll discover meaningful and practical insights into what causality is and how it can benefit your organization and understand the critical differences between correlation-based approaches to AI and causality-based approaches. The book also includes easy-to-understand use cases and examples that demonstrate the value of causality for solving business problems. P

Thompson, John K.(2)

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